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Energy Systems Analyst

Date: Nov 20, 2022

Location: Knoxville, TN, US, 37932

Company: Oak Ridge National Laboratory

Requisition Id 9122 


The Energy Systems Analytics (ESA) group at the Oak Ridge National Laboratory (ORNL) conducts applied machine learning and decision science research and development for energy applications. To support ORNL strategic R&D activities in advanced manufacturing, we are seeking candidates to fill multiple Energy Systems Analyst positions. The selected candidates will work at the Manufacturing Demonstration Facility (MDF - to develop in collaboration with members of the MDF Data Analytics team algorithms, scripts, and data analytics techniques to analyze multidimensional manufacturing data.



The MDF Data Analytics team is developing software and methods to collect and to analyze data coming from state-of-the-art 3D printers and machining systems. In an Industry 4.0 environment like the MDF, manufacturing systems are heavy data producers. Information is collected at every step of the manufacturing process to create terabyte size multi-modal and spatiotemporal datasets that capture how each component was manufactured. As a research institution, we are using these data to gain a greater understanding of our systems and use this knowledge to find new ways to optimize manufacturing systems, to perform real time quality assessment, to implement feedback loop control and correction strategies, and ultimately to develop the next generation of systems. In this context, you will be working with a talented team of scientists and engineers on cutting edge R&D projects. Your role will be to develop the data analytics algorithms or artificial intelligence approaches to process these data in order to extract relevant information in support of our main optimization and control objectives. With over 100 systems at the MDF, you will have the possibility to work on very different projects and multiple opportunities to explore multiple facets of data science, and to grow your skillsets and career while having a measurable impact in the success of the MDF.


Major Duties/Responsibilities:

  • Design, develop and test algorithms to analyze data, including complex multidimensional datasets
  • Write maintainable, clean, and well-structured code with documentation and unit test
  • Implement visualization techniques using existing libraries or custom solutions
  • Run existing tools and algorithms to generate new data
  • Frequently generate reports and presentations to communicate results and findings
  • Investigate machine learning and deep learning techniques
  • Read recent publications to stay current of latest AI research
  • Support R&D staff members on their projects
  • General support of research and development needs within the MDF


Basic Qualifications:

  • B.S. in computer science, mathematics, or closely related field and two years of work experience
  • Proficiency in Python and R
  • Experience with machine learning and deep learning libraries
  • Experience building AI models in platforms such as TensorFlow, Keras, or PyTorch
  • Ability to work in a very dynamic team environment
  • Ability to quickly learn the use of new libraries and concepts
  • Excellent verbal and written communication skills
  • This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.


Preferred Qualifications:

  • M.S. in computer science, mathematics, or closely related field
  • Strong proficiency in modern Python
  • Experience in designing and building original algorithms for data processing and understanding


This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.

Nearest Major Market: Knoxville